Martin Lackmann
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Axon Guidance and Neuronal Signaling
- Cell Biology top 0.5%
- Hippo pathway signaling and YAP/TAZ
Papers in
-
- Axon Guidance and Neuronal Signaling 44
- Cell Biology 20
- Hippo pathway signaling and YAP/TAZ 15
- Co-authors
- Andy BoydPeter W. JanesDimitar B. NikolovSabine Wimmer-KleikampJuha‐Pekka HimanenEva NievergallPerry F. BartlettMark Henkemeyer
- Journals
- Blood (7 papers)Journal of Biological Chemistry (6 papers)The Journal of Cell Biology (4 papers)Journal of Cell Science (3 papers)Growth Factors (3 papers)
- Partner nations
- AustraliaUnited StatesGermany
In The Last Decade
Martin Lackmann
70 papers receiving 4.2k citations
Peers
Comparison fields: 5 of 120
- Cellular and Molecular Neuroscience 2.4k
- Cell Biology 1.2k
- Developmental Neuroscience 244
- Immunology and Allergy 256
- Analytical Chemistry 366
Countries citing papers authored by Martin Lackmann
This map shows the geographic impact of Martin Lackmann's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Martin Lackmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Lackmann more than expected).
Fields of papers citing papers by Martin Lackmann
This network shows the impact of papers produced by Martin Lackmann. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Martin Lackmann. The network helps show where Martin Lackmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Lackmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 28 | |
| 2 | 2014 | 67 | |
| 3 | 2014 | 18 | |
| 4 | 2012 | 163 | |
| 5 | 2012 | 76 | |
| 6 | 2011 | 75 | |
| 7 | Improving SIFT's performance by incorporating appropriate gradient information | 2011 | 2 |
| 8 | 2010 | 208 | |
| 9 | 2008 | 35 | |
| 10 | 2005 | 63 | |
| 11 | 2004 | 107 | |
| 12 | 2004 | 368 | |
| 13 | 2001 | 262 | |
| 14 | 2000 | 14 | |
| 15 | 1999 | 46 | |
| 16 | 1999 | 51 | |
| 17 | 1998 | 46 | |
| 18 | 1996 | 93 | |
| 19 | 1994 | 34 | |
| 20 | 1994 | 45 |
About Martin Lackmann
Martin Lackmann is a scholar working on Cellular and Molecular Neuroscience, Cell Biology, Analytical Chemistry, Molecular Biology and Developmental Neuroscience, having authored 70 papers that have together received 4.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (44 papers), Angiogenesis and VEGF in Cancer (18 papers), Hippo pathway signaling and YAP/TAZ (15 papers), Chromatography in Natural Products (9 papers), HER2/EGFR in Cancer Research (8 papers), S100 Proteins and Annexins (5 papers), Protease and Inhibitor Mechanisms (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.4k citations), Cell Biology (1.2k citations), Developmental Neuroscience (244 citations), Immunology and Allergy (256 citations) and Analytical Chemistry (366 citations). Martin Lackmann has collaborated with scholars based in Australia, United States and Germany. Frequent co-authors include Andy Boyd, Peter W. Janes, Dimitar B. Nikolov, Sabine Wimmer-Kleikamp, Juha‐Pekka Himanen, Eva Nievergall, Perry F. Bartlett, Mark Henkemeyer, William A. Barton and Christopher Vearing. Their work appears in journals such as Blood, Journal of Biological Chemistry, The Journal of Cell Biology, Journal of Cell Science and Growth Factors.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.